Roundup Hello, welcome back to the AI roundup. Here’s a short list of what’s been happening so far since the Christmas and New Year break.

TensorFlow updates: Google has released new code for developers interested in training machine learning models more privately as well as a sneak peak of TensorFlow 2.0.

TensorFlow - Privacy - Python - Library - TensorFlow

TensorFlow Privacy is a Python library that contains TensorFlow algorithms to train models with differential privacy for anonymizing data sets. It’s good for handling sensitive data like medical records, where you want to scrub the data of any characteristics that could potentially identify a patient.

Next, is the preview of the upcoming TensorFlow 2.0 updates. You can play around with it here - but be warned it’s not fully complete so it might be buggy and probably won’t work for advanced projects.

Link - TensorFlow - Privacy

Here’s the link to download TensorFlow Privacy.

Sigh, more Intel AI chip fluff: Intel, never one to miss out on an opportunity to tout its promised Neural Network Processor chip, divulged a few details during the Consumer Electronics Show this week.

Chipzilla - Engineers - Facebook - NNP - Chip

First, it announced that Chipzilla’s engineers were working with Facebook to finish the NNP chip for later this year. The announcement, however, isn’t actually new. Back in October 2017, Naveen Rao, veep of Intel's artificial intelligence products group, said he was “thrilled to have Facebook in close collaboration sharing their technical insights as we bring this new generation of AI hardware to market.”

Fast forward over a year later, and there's still no hardware to be seen. What is new, however, is that the chip will contain Intel’s 10nm Ice Lake cores, according to Rao.

Intel - Chip - Laptops - Servers - Inference

Intel hopes to ship the chip in laptops and servers by 2020 to handle the inference side...